Invention Grant
- Patent Title: Machine-learning digital assistants
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Application No.: US15907195Application Date: 2018-02-27
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Publication No.: US10909980B2Publication Date: 2021-02-02
- Inventor: Baba Nadimpalli , Farooq Khalid , Ritesh Nadhani
- Applicant: SKAEL, Inc.
- Applicant Address: US CA San Francisco
- Assignee: SKAEL, Inc.
- Current Assignee: SKAEL, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G10L15/22
- IPC: G10L15/22 ; G06F9/451 ; G06N5/04 ; G10L15/26 ; G06N20/00 ; G06F16/332 ; G06F15/76 ; G06F8/33

Abstract:
A method of improving response times associated with responding to requests submitted at one or more front-end systems is disclosed. An utterance is listened for at an intelligent virtual assistant included in the one or more front-end systems. At least one of an intent, a context, and a classification is inferred from the utterance. One or more back-end system commands are generated based on the inferring. The one or more back-end system commands are selected based on machine-learned mappings of the at least one of the intent, the context, and the classification to machine-learned organization-specific pathways into the one or more back-end systems. The one or more back-end system commands are distributed across the one or more back-end systems. A response to the utterance is communicated for presentation via the intelligent virtual assistant, the response including an aggregation of the one or more results received.
Public/Granted literature
- US20180247648A1 MACHINE-LEARNING DIGITAL ASSISTANTS Public/Granted day:2018-08-30
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